SemesterFall Semester, 2025
DepartmentFreshman Class of Department of Computer Science Sophomore Class of Department of Computer Science
Course NameIntroduction to Social Media
InstructorHSIEH PEI-HSUAN
Credit3.0
Course TypeElective
Prerequisite
Course Objective
Course Description
Course Schedule



































































































































Week



Topic



Content and Reading Assignment



Teaching Activities and Homework



Student workload expectation



In-class Hours



Outside-of-class Hours



W1 - Sept 02



Introduction & SM Data



Syllabus Review / Intro. to SM / Data Collection and Data Management 1/2



 



Note 1/2: Dates to participate in full/half-day workshops, held on Saturday (2~3 times), will be determined and announced soon. Note 2/2: The entire course is designed to provide a total of 54 hours of learning time (16×3 + 6 hours) for the students.



ASN Chs 1, 4



3



4.5



W2 - Sept 09



SM Data



Data Collection and Data Management 2/2



ASN Chs  5



3



4.5



W3 - Sept 16 from 1:10 ~ 2:00 lecture and then Guest Talk from 2:30



Perspectives of SM and Interaction Design



Research Design



(TBD free lunch) Sept15, 12:10~1:30  special talk delivered by Emeritus Prof. Dr. Lorna Uden from the Dept. of Computing, School of Digital, Tec. Innovation and Business, The Uni. of Staffordshire, UK



ASN Ch3



3



4.5



W4 - Sept 23



Visualization



ASN Ch7



3



4.5



W5 - Sept 30



Interactivity Design Essentials (1/2)



ID Chs 3~7



3



4.5



W6 - Oct 07



Mid-Autumn Festival (NO CLASS)



Group project proposal (video links or PPT recordings)



Online resources



0



9



W7 - Oct 14



Perspectives of SM and Evaluation



Interactivity Design Essentials (2/2)



ID Chs 10~14



3



4.5



W8 - Oct 21



*Intro. to Inferential Statistics



ASN Ch14



3



4.5



W9 - Oct 28



Guest Talk (ITMA-Ostfalia 1028): Topic to be announced

also,
ICAE International Conference 1213



 



3



4.5



W10 - Nov 03



Perspectives of SM and Statistics



Local/Group Node-level Measures



ASN Chs 8, 10



3



4.5



W11 - Nov 10



Centrality



ASN Ch 9



3



4.5



W12 - Nov 17



Subgroups and Community Detection



ASN Ch11



3



4.5



W13 - Nov 24



Equivalence



ASN Ch12



3



4.5



W14 - Dec 01



AI-Powered SM Marketing



Content Creation



Online resources



3



4.5



W15 - Dec 08



Engagement and Insights



3



4.5



W16 - Dec 15



Course Review and Conclude / Learning Feedback and Reflection



Group project presentation (video links or PPT recordings)



3



4.5




*Demo Day


Teaching Methods
Teaching Assistant

TBD


Requirement/Grading

40% Workshop Participation - TBA



20% Individual Practices - two times in W6 and W12



10% Group project proposal - W6



30% Group project presentation - W16


Textbook & Reference

Textbooks



Borgatti, S. P., Everett, M. G., Johnson, J. C., & Agneessens, F. (2024). Analyzing social networks (3rd eds). SAGE Publications Asia-Pacific Pte Ltd. [ASN]



Rogers Y, Sharp, H., & Preece, J. (2023). Interaction design: Beyond human-computer interaction (6th eds.). Wiley & Sons Inc. [ID]



 



References




  1. Borgatti, S. P., Everett, M. G., Johnson, J. C., & Agneessens, F. (2022). Analyzing social networks using R. SAGE Publications Asia-Pacific Pte Ltd. 

  2. UCInet Online Textbook https://faculty.ucr.edu/~hanneman/


Urls about Course
• NCCU Moodle • UCInet Software https://sites.google.com/site/ucinetsoftware/home • Steve Borgatti https://sites.google.com/site/steveborgatti/home • Social Network Analysis by Duke University's Mod-U channel on YouTube https://www.youtube.com/playlist?list=PL1M5TsfDV6Vs7tnHGNgowEUwJW-O8QVp5 • The Historical Network Research Community https://www.youtube.com/@HistoricalNetworkResearch • Network Culture https://networkcultures.org/geert/
Attachment